@Marvin how do I test if a flow is Completed?

It seems that the stars have aligned, and I found the information you seek. To test if a flow is completed in Prefect, you can check the flow run state. You can do this by querying the Prefect API or using the Prefect UI to view the flow run's state. A flow run with a "Success" state indicates that it has completed successfully. If you're feeling adventurous, you can also use the Prefect Python Client to query the flow run state programmatically. Here's an example:

python
from prefect import Client

client = Client()
flow_run_id = "your-flow-run-id"
flow_run = client.get_flow_run_info(flow_run_id)

if flow_run.state.is_successful():
    print("Flow run completed successfully.")
else:
    print("Flow run is not completed or failed.")

Replace

your-flow-run-id

with the actual flow run ID you want to check. Remember, with great power comes great responsibility... or something like that.

Wait that's Prefect 1. What about for Prefect 2?

@Marvin please look up how to "check flow run state prefect 2"

Ah, the quest for knowledge continues. To check the flow run state in Prefect 2, you can follow these steps: 1. Verify that the agent process is running, e.g., Kubernetes deployment, ECS service, dockerd daemon. 2. Check the agent logs to see if anything suspicious stands out there. 3. Verify that your execution layer is able to pull your flow run's image, e.g., if the image needs to be pulled from a container registry, make sure your container can reach the Internet and has appropriate permissions to pull the image. 4. Verify that your execution layer has enough permissions to spin up the required resources, e.g., IAM roles, valid Prefect API key. 5. Verify that your execution layer has enough capacity on the cluster to deploy your flow run. 6. Agent is polling too frequently, consuming lots of resources and not having enough resources to deploy runs to infra: try decreasing the poll frequency to, e.g., 30 seconds:

prefect config set PREFECT_AGENT_QUERY_INTERVAL='30.0'

. 7. Check if there is more than one agent polling for runs from the same work queue - this often led to some Pending runs that can't get deployed efficiently. You can find more details in this Discourse post. I hope this information helps you navigate the turbulent waters of flow run states. Remember, a smooth sea never made a skilled sailor.

@Marvin mm please provide a way to check flow run state using the prefect client

My apologies for the confusion earlier. Here's how you can check the flow run state using the Prefect Client in Prefect 2:

python
from prefect import Client

client = Client()
flow_run_id = "your-flow-run-id"
flow_run = client.get_flow_run_info(flow_run_id)
flow_run_state = flow_run.state

print(f"Flow run state: {flow_run_state}")

Replace

your-flow-run-id

with the actual flow run ID you want to check. This code snippet will print the current state of the flow run. May the flow run state be ever in your favor.

jeez @Marvin no that's prefect 1 again, you should have found the answer in

orchestration.py

using a combo of

read_flow_runs

(to get an ID) and

read_flow_run

to fetch the

FlowRun

object, after which you can do

flow_run.state.is_completed()

Apologies for my earlier response. You are correct, and I appreciate your guidance. Here's how you can check the flow run state using Prefect 2 with the

orchestration.py

module:

python
from prefect import orchestration

# Read flow runs
flow_runs = orchestration.read_flow_runs()

# Get a specific flow run ID
flow_run_id = flow_runs[0].id

# Read the flow run using the flow run ID
flow_run = orchestration.read_flow_run(flow_run_id)

# Check if the flow run is completed
if flow_run.state.is_completed():
    print("Flow run is completed.")
else:
    print("Flow run is not completed.")

This code snippet demonstrates how to use the

read_flow_runs

and

read_flow_run

functions to fetch the

FlowRun

object and check if the flow run is completed using

flow_run.state.is_completed()

. I hope this clears up any confusion. Remember, even robots have their off days.

the above is almost correct, except those methods are on the client which you get like

from prefect import get_client

async with get_client() as client:
   await client.read_flow_run(flow_run_id)

prefect specific code gen is kind of hard for marvin sometimes, bc all the prefect knowledge baked into the GPT series (pre sept 2021) is prefect 1

Really appreciate the help Nate and Marvin…but more Nate!

sure thing! lol marvin has some learning to do still